…for price shocks in your backtests, the truth about diversification, advice for algorithmic traders, and much more. Be sure to check out some of his bestselling books A Guide to Creating a Successful Algorithmic Trading Strategy, and Trading Systems and Methods, 5th Edition. You can also find more information on Perry at his popular Algorithmic Investment Strategies website: http://kaufmansignals.com/.

Kurt: Take us back to the beginning and what your first experience in trading was like.

Perry: My first experience in trading was interesting. It was quite a while ago, probably before you were born. At the ver…
2018-01-24 00:00:00 https://www.quantnews.com/2018/01/24/perry-kaufman-interview-industry-leader-expert-algorithmic-trader/

CloudQuant Thoughts: The points that Mr. Kaufman makes on the instant availability of “noise” is very interesting. We don’t consider this to be noise at CloudQuant. We consider it to be an opportunity for data scientists and crowd researchers. These result in new data sets to research and to seek trading signals. What one person considers to be noise another person may find to be an interesting signal source!

Twitter Mood Predicts the Stock Market

…POMS time series. Next, a Granger causality analysis is used to correlate Dow Jones Industrial Average (DJIA) daily close values with the GPOMS and OF mood data. In the third phase, an application of machine learning known as a Self-Organizing Fuzzy Neural Network is used to predict DJIA values based on past DJIA values and public mood data from OF and GPOMS.

CloudQuant Thoughts: We have seen a number of people using Alternative Data Sets, including those generated from social media, to seek out alpha in their trading.

Alt Data on the March with Machine Learning

…tive data, there is increasing demand for data scientists and machine-learning professionals who can work with petabytes of unstructured data sets. In January, Point72’s Aperio unit advertised for a “machine learning-data scientist” on AlternativeData.org, a public website that covers the industry.

CloudQuant Thoughts: Haven’t we been saying that there is opportunity in Alt-Data for a very long time?

What To Watch For In SAP’s Q4 Earnings

…presence in the IoT space with new products and acquisitions. This space could drive substantial growth for SAP over the long run. Combined with its ongoing efforts to strengthen its offerings in the machine learning space, the company is expected to do well in the competitive software industry.

CloudQuant Thoughts: Machine Learning offerings are now an indicator of the financial strength of a company. We wonder how many investment bots are seeking out ML offerings to give advice on investments.

How Successful Investors Are Using AI to Stay Ahead of the Competition

…, AI is set to transform all facets of life ranging from heavy industry to medicine, transportation, commerce, art, communication and of course, finance. Already, we are witnessing its application in algorithmic trading, underwriting, personal finance, market analysis and data mining and portfolio management. In recent years, advances in AI and increases in processing power and the sizes of available data sets have placed these intelligent tools and algorithms in the hands of a wider class of investors.

As a result, everyday investors are coming up with smarter, less risky, trading strategies.

CloudQuant Thoughts: AI and machine learning are showing up everywhere in the investment and trading industry. We use it to generate trading strategies. Others use it to pick investments. It is a growing focus of innovation.

How Artificial Intelligence Could Replace Human Decision-Making — And Soon

…If you, like many others, are wondering how artificial intelligence (AI) will change your daily life, envision this: Inside your home, items will become self-aware of their own lifespan and will autonomously order better, cheaper replacements that arrive exactly before their depletion. From lights that reorder themselves to appliances that are smarter and understand your needs and lifestyle, AI will integrate seamlessly into your home.

CloudQuant Thought: The best sentence in this article says “Context, intent and action are themes that help drive decisions.” This is so very true. In AI and ML for trading, you may need to look at the context of the entire market. When recently reviewing technical indicators that are available using TA-LIB in our backtest engine one sees that these alpha signals are best when overlayed with overall market context!

Trading robotics stocks

…The re-awakening of Artificial Intelligence (AI) and constant technological advancements have given a rebirth of robotics in the recent years. An open-source based Robotics Operating System (ROS) supported by Google (GOOG) has changed the robotics field for everyone to build faster and lower-cost robotics applications, machinery in new start-up companies. Exploitation of new Graphical Processing Units has enabled the existence of Big Data,…
2018-01-26 00:00:00 http://www.futuresmag.com/2018/01/26/trading-robotics-stocks

CloudQuant Thoughts: What a great list of AI and Robotic Stocks and ETFs.

Artificial Intelligence Stocks To Watch For In 2018 And Beyond

…This article originally appeared in the Motley Fool.

The artificial intelligence (AI) market could grow at a compound annual growth rate (CAGR) of 57% between 2017 and 2025 to become a $36 billion market according to Grand View Research. However, this fragmented market can be tough to navigate for investors who haven’t kept up with the latest AI developments. Let’s highlight the main trends investors should keep an eye on.

Tech Giants Brace for Europe’s New Data Privacy Rules

… With the new rules coming, Facebook also decided not to roll out some products in Europe that would violate the privacy laws.

Last November, for instance, the company unveiled a program that uses artificial intelligence to monitor Facebook users for signs of self-harm. But it did not open the program to users in Europe, where the company would have had to ask people for permission to access sensitive health data, including about their mental state. The social network has also kept out of Europe facial recognition software that tracks when photos of users are posted across the platform.

CloudQuant Thought: CloudQuant Thought: This is worthwhile watching to see how it all plays out.

Reviewing 2017 and Previewing 2018

…2017 was a huge year for Kaggle. Aside from joining Google, it also marks the year that our community expanded from being primarily focused on machine learning competitions to a broader data science and machine learning platform. This year our public Datasets platform and Kaggle Kernels both grew ~3x, meaning we now also have a thriving data repository and code sharing environment. Each of those products are on track to pass competitions on most activity metrics in early 2018.

CloudQuant Thoughts: The datasets available with 1-minute timestamp data for BitCoin and Crypto Currencies have our imaginations going wild. We like the 1-minute data but want more!

It doesn’t take a data scientist to know which title tops Glassdoor’s 50 Best Jobs in America, again

…
“Workers with certain technical and soft skills, such as creativity, flexibility and good judgement, are at an advantage across industries, from health care to finance to HR, to leverage advances in artificial intelligence and automation,” Chamberlain added. “That’s because AI is increasingly complementing these jobs, while not replacing the people needed to do them.”

CloudQuant Thoughts: Every data scientist needs to hone skills somewhere. CloudQuant offers a great place to prove out those skills before your job interview.

Artificial intelligence is going to supercharge surveillance

…. Most surveillance cameras are passive, however. They’re there as a deterrence, or to provide evidence if something goes wrong. Your car got stolen? Check the CCTV.

But this is changing — and fast. Artificial intelligence is giving surveillance cameras digital brains to match their eyes, letting them analyze live video with no humans necessary. This could be good news for public safety, helping police and first responders more easily spot crimes and accidents and have a range of scientific and industrial applications. But it also raises serious questions about the future of privacy and poses novel risks to social …
2018-01-23 00:00:00 https://www.theverge.com/2018/1/23/16907238/artificial-intelligence-surveillance-cameras-security

CloudQuant Thoughts: Where will this take us in the future? Will we be able to use satellite data to predict crop yields? How about manufacturing activity at a plant? Will video feeds from shopping centers give us an idea about the retail sector? There is a lot of promise to this data from a trading perspective.

Google Releases TensorFlow 1.5 – All you need to know

… 1.5 – All you need to know

Introduction

TensorFlow is a very popular open-source library that is written in Python, C++ and CUDA. It’s uses span a range of tasks. Chief amongst them, is its use in machine learning applications for building neural networks.

The TensorFlow library has seen many releases since 2015, and Google announced the latest update a couple of days back – TensorFlow 1.5. According to the team, they were monitoring “feedback about the programming style of TensorFlow, and how developers really wanted an imperative, define-by-run programming style”.

The thoughts and opinions on this site do not represent investment recommendations by CloudQuant or Kershner Trading Group. Securities, charts, illustrations and other information contained herein are provided to assist crowd researchers in their efforts to develop algorithmic trading strategies for backtesting on CloudQuant.